NDLI: Big(ger) sets: decomposed delta CRDT sets in Riak

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Content Provider	ACM Digital Library
Author	Place, Paul Lakhani, Zeeshan Brown, Russell
Abstract	CRDT[24] Sets as implemented in Riak[6] perform poorly for writes, both as cardinality grows, and for sets larger than 500KB[25]. Riak users wish to create high cardinality CRDT sets, and expect better than O(n) performance for individual insert and remove operations. By decomposing a CRDT set on disk, and employing delta-replication[2], we can achieve far better performance than just delta replication alone: relative to the size of causal metadata, not the cardinality of the set, and we can support sets that are 100s times the size of Riak sets, while still providing the same level of consistency. There is a trade-off in read performance but we expect it is mitigated by enabling queries on sets.
Starting Page	1
Ending Page	5
Page Count	5
File Format	PDF
ISBN	9781450342964
DOI	10.1145/2911151.2911156
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-04-18
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Eventual consistency Crdts Databases
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Big(ger) sets: decomposed delta CRDT sets in Riak